Modeling Facial Geometry Using Compositional VAEs

We propose a method for learning non-linear face geometry representations using deep generative models. Our model is a variational autoencoder with multiple levels of hidden variables where lower layers capture global geometry and higher ones encode more local deformations... (read more)

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METHOD TYPE
AutoEncoder
Generative Models